Matches in Library of Congress for { <http://lccn.loc.gov/2013048400> ?p ?o. }
Showing items 1 to 21 of
21
with 100 items per page.
- 2013048400 contributor B12755959.
- 2013048400 contributor B12755960.
- 2013048400 date "2014".
- 2013048400 description "Description based on print version record and CIP data provided by publisher; resource not viewed.".
- 2013048400 description "Includes bibliographical references and index.".
- 2013048400 description "Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains .".
- 2013048400 extent "1 online resource.".
- 2013048400 hasFormat "Probability and stochastic processes".
- 2013048400 identifier "9781118804384 (pdf)".
- 2013048400 isFormatOf "Probability and stochastic processes".
- 2013048400 issued "2014".
- 2013048400 language "eng".
- 2013048400 relation "Probability and stochastic processes".
- 2013048400 subject "519.2 23".
- 2013048400 subject "MATHEMATICS / Probability & Statistics / General. bisacsh".
- 2013048400 subject "Probabilities.".
- 2013048400 subject "QA273".
- 2013048400 subject "Stochastic processes.".
- 2013048400 tableOfContents "Machine generated contents note: Chapter 1. Experiments, Models, and Probabilities Chapter 2. Discrete Random Variables Chapter 3. Continuous Random Variables Chapter 4. Pairs of Random Variables Chapter 5. Random Vectors Chapter 6. Sums of Random Variables Chapter 7. Parameter Estimation Using the Sample Mean Chapter 8. Hypothesis Testing Chapter 9. Estimation of a Random Variable Chapter 10. Stochastic Processes Chapter 11. Random Signal Processing Chapter 12. Markov Chains .".
- 2013048400 title "Probability and stochastic processes : a friendly introduction for electrical and computer engineers / Roy D. Yates, Rutgers, the State University of New Jersey, David J. Goodman, New York University.".
- 2013048400 type "text".